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OBJECTIVE:To establish a method for the limit detection of aconitine in Wuqi shujin tongluo tablet. METHODS:TLC was conducted to identify the aconitine;TLC plate was silica gel G plate,developing solvent was toluene-ethyl acetate-chloro-form-acetone-ammonia(20:18:3:6:1,V/V/V/V/V),chromogenic agent was bismuth potassium iodide test solution and sodium ni-trite ethanol test solution;and durability investigation and detection limit detection were used to optimize the TLC plate,tempera-ture and humidity. RESULTS:TLC showed the aconitine had clear spots and negative control without interference. The durability was good;detection limit was 0.9 μg;available TLC plate was Merck HPTLC prefabricated plate, silica gel G TLC plate setf-made silica gel G TLC plate with adhesive of sodium carboxymethycellulose;temperature was 5-16 ℃ and humidity was 32%-72%. CONCLUSIONS:The method is simple and reproducibility,and can be used for the limit detection of aconitine in Wuqi shujin tongluo tablet.
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OBJECTIVE:To compare the performance of several pattern recognition methods in the identification of volatile oils of traditional Chinese medicine(TCM)by infrared spectroscopy. METHODS:The volatile oils of several Lonicera and Citrus TCM were determined by infrared spectroscopy. All samples of infrared spectrum were classified by hierarchical clustering,K-mean clustering,artificial neural networks,and support vector machine. RESULTS:The results of hierarchical clustering and K-mean clus-tering were ineffective. Methods of artificial neural networks and support vector machine achieved correct classification rate of 100%. CONCLUSIONS:Artificial neural networks and support vector machine can be combined with infrared spectroscopy to cre-ate chemometric fingerprinting for the identification of volatile oils of TCM.
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Objective To set up a method for identification of Lonicerae japonicae flos volatile oils using Fourier-transform infrared spectroscopy. Methods The volatile oils of Lonicerae japonicae flos and Lonicerae flos was extracted by steam distillation combined with continuous liquid-liquid extraction with hexane. An oil film was prepared for Fourier-transform infrared spectroscopy scanning by dropping the volatile oils solution on the KBr disc and evaporating the solvent. The obtained infrared spectrum was treated by baseline removing and median filter smoothing. The spectral data within 1800-850 cm-1 was selected as the characteristic spectrum for hierarchical cluster analysis. And the volatile oils of Lonicerae japonicae flos and Lonicerae flos were discriminated by the result of hierarchical cluster analysis. Results Enough volatile oils were extracted for obtaining Fourier-transform infrared spectrum from small amount of Lonicerae japonicae flos. The method developed in the study was able to discriminate Lonicerae japonicae flos volatile oils from Lonicerae flos volatile oils. Conclusion The method can be used for identification of Lonicerae japonicae flos volatile oils.